Modeling Uncertainty Helps MIT's Drone Zip Around Obstacles

For drones trying to navigate a busy environment like a warehouse or a forest at high speed, the ability to know exactly where they are at all times would seem pretty essential. Not so, say researchers from MITís Computer Science and Artificial Intelligence Laboratory (CSAIL), who have a devised a new, efficient way to guide drones around obstacles. The key ingredient? Uncertainty. With most drones ó and, indeed, most self-driving vehicles ó navigation starts with a map. To draw one, depth sensors are used to scan the immediate environment which is compiled into a single 3D model. This then tells the vehicle not only where they are at any given moment, but also how to get to their destination. Itís a method commonly known as... Continue reading…

Modeling Uncertainty Helps MIT's Drone Zip Around Obstacles

This drone keeps track of what it doesn't know to quickly plan aggressive maneuvers

Mon 12 Feb 18 from IEEE Spectrum

Programming drones to fly in the face of uncertainty

Companies like Amazon have big ideas for drones that can deliver packages right to your door. But, even putting aside the policy issues, programming drones to fly through cluttered spaces like ...

Mon 12 Feb 18 from TechXplore

Programming drones to fly in the face of uncertainty, Mon 12 Feb 18 from ScienceDaily

Programming drones to fly in the face of uncertainty, Mon 12 Feb 18 from Science Blog

Programming drones to fly in the face of uncertainty, Mon 12 Feb 18 from Eurekalert

MIT teaches drones to fly with uncertainty

 MIT researchers are working on a new steering system for drones that uses uncertainty to ensure that they don’t hit obstacles as they fly autonomously. The system is a bit complex ...

Wed 14 Feb 18 from TechCrunch

MIT Mapping System Makes Drones Self-Aware

If drone deliveries are the future, NanoMap is the present. MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) developed a system that allows drones to consistently ...

Mon 12 Feb 18 from Geek.com

A little uncertainty can help drones dodge obstacles at high speeds, says MIT

For drones trying to navigate a busy environment like a warehouse or a forest at high speed, the ability to know exactly where they are at all times would seem pretty essential. Not ...

Mon 12 Feb 18 from The Verge

MIT CSAILís drone is never quite sure where it is

The current generation of autonomous drone navigation and flightpath planning systems are almost too precise, demanding hundreds of measurements be taken so that the UAV knows exactly ...

Mon 12 Feb 18 from Engadget

MIT drone uses NanoMap tech for high speed navigation of cluttered environments

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed NanoMap, a drone navigation system that enables the high speed navigation of cluttered ...

Mon 12 Feb 18 from The Engineer

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